Chewy-posted 5 months ago
Full-time • Mid Level
Boston, MA
5,001-10,000 employees
Sporting Goods, Hobby, Musical Instrument, Book, and Miscellaneous Retailers

Advertising is a critical component of the ecommerce ecosystem and provides a critical revenue stream to the company. At Chewy, Sponsored Ads team is looking for a Senior Machine Learning Engineer to help launch various innovative ads-offerings for Chewy onsite and offsite sponsored ads. As a member to the Sponsored Advertising team, you'll be part of core technical team and will influence technical strategy across product search and discovery, relevance and ranking, prediction, and auction of large selection of sponsored ads offering onsite and offsite. You'll be at forefront of driving technology driven business impact. Machine learning and deep-learning models will influence selection, relevance, ranking, click-through prediction modelling, auction-dynamics, keywords recommendation, campaign optimization, ads channel performance, ads performance maximization and wide array of engaging data-science latest methodologies including but not limited to LLMs and generative AI. Sponsored Ads creates a win-win ecosystem for shoppers, brand owners and Chewy! Shoppers (pet Parents) are offered a range of alternate options to help them choose better and learn about new products, new brands, new promotions, and different price points. Brand owners and advertisers get to showcase their product offerings in the front row for their target audience (proud pet owners) and maximize their reach.

  • Deploy machine learning and data-science to simplify shopping experience for pet-parents.
  • Be responsible for the full Data Science lifecycle from conception to prototyping, testing, deploying, and measuring the overall business value of the models.
  • Conduct exploratory analysis on large sets of text data and make recommendations to identify customer problems and inform new product features.
  • Devise models and algorithms and guide engineering to develop scalable solutions that can work in real-time with large amounts of data.
  • Identify and run priorities within the context of overall Chewy objectives.
  • Work with colleagues in data science and engineering to drive the standard processes in development, testing, and production of models at scale.
  • Establish strong working relationship at all organizational levels across different functional teams.
  • Work with the data engineering teams to develop the automated pipelines to perform different stages of the model life cycle.
  • An advanced degree (M.S., PhD, or equivalent experience) in Statistics, Applied Mathematics, Data Science or related field or proven experience for at least 3 years designing optimization and machine learning solutions for large scale applications.
  • Experience in building and shipping machine learning models for business applications at scale.
  • Experience with deep learning software platforms, such as PyTorch or TensorFlow.
  • Experience with groundbreaking technologies in deep learning, RecSys, transformer architectures, two-tower architectures and Search, Ranking or large-scale embeddings.
  • Demonstrated knowledge and experience with distributed machine learning and deploying models at scale in cloud environments such as AWS or Google Cloud Platform.
  • Excellent verbal and written communication skills.
  • Proven experience in seeing opportunities for business improvement and defining and measuring the success of those initiatives.
  • Experience with large-scale data processing frameworks.
  • Familiarity with A/B testing methodologies.
  • Knowledge of ecommerce and advertising ecosystems.
  • Health insurance
  • 401k
  • Paid time off
  • Employee discounts
  • Flexible working hours
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